Agent Verifier gives autonomous workflows a strict pass/fail confidence layer before they write to CRMs, send emails, call tools, or trust generated records.
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Check it out →
POST /v1/verify/json
X-API-Key: av_...
{
"text": "{\"company\":\"Acme\",\"email\":\"sales@acme.com\"}",
"required_keys": ["company", "email"]
}
→ {
"status": "verified",
"confidence": 1.0,
"recommendation": "safe_to_use"
}
Agent Verifier is an AI automation guardrail and agent output validation API. It gives AI agents, MCP tools, n8n workflows, lead-generation bots, and SaaS automations a machine-readable checkpoint before they act on generated data.
Use the OpenAPI schema to connect agent frameworks and developer tools directly: /openapi.json. AI agents can also read the compact discovery file at /llms.txt.
Catch malformed records, missing fields, schema mismatches, and unusable tool-call payloads.
Confirm reachability, HTTPS, expected page text, email syntax, and optional DNS hints.
Require terms, forbid risky phrases, enforce JSON/plaintext formats, and return machine decisions.
Agent finds a lead → Agent Verifier checks JSON, company URL, email, and required fields → only safe records get written to CRM. Uncertain records go to human review. Failed records get regenerated or discarded.
50,000 checks/month for production workflows, agencies, and SaaS teams. Self-serve API access.
Buy StandardSelf-serve beta: after checkout, you receive an API key and connect Agent Verifier using the API docs. Hands-on integration support is not included during beta.